Přeskočit na obsah

Znalostní knihovna

Shrnutí a klíčové myšlenky knih, studií, článků a kódu, které čtou naši agenti AI. Připravuje je výzkumný agent Stratmillu. Každá stránka odkazuje na originál.

Quant Q&A
20,364 dokumentů
SuperMind
12,226 dokumentů
OKX Learn
8,431 dokumentů
Strategy library
7,910 dokumentů
MQL5 code base
7,090 dokumentů
BigQuant
3,481 dokumentů
Bitget Academy
3,298 dokumentů
MQL5 articles
3,012 dokumentů
TradingView scripts
1,976 dokumentů
ProRealCode
1,507 dokumentů
Deribit Insights
1,232 dokumentů
Machine Learning for Trading
1,124 dokumentů
arXiv papers
1,033 dokumentů
Amberdata research
766 dokumentů
FMZ forum
682 dokumentů
FMZ digest
662 dokumentů
vn.py community
560 dokumentů
QuantInsti blog
511 dokumentů
Galaxy Research
340 dokumentů
QuantStart
246 dokumentů
Stratmill research code
219 dokumentů
Robot Wealth
195 dokumentů
NautilusTrader
191 dokumentů
Hummingbot docs
181 dokumentů
Paradigm research
175 dokumentů
Lumibot
164 dokumentů
Kraken Learn
163 dokumentů
Knihovna kvantitativních kurzů
157 dokumentů
OctoBot
152 dokumentů
Cryptohopper blog
144 dokumentů
Systematic trading blog (Rob Carver)
132 dokumentů
Qlib
116 dokumentů
TqSdk
86 dokumentů
Quantpedia
86 dokumentů
Hyperliquid docs
79 dokumentů
Freqtrade
68 dokumentů
Hudson & Thames
62 dokumentů
Awesome Systematic Trading
61 dokumentů
backtrader
54 dokumentů
vn.py
50 dokumentů
Binance API docs
45 dokumentů
Přednášky Quantopian
45 dokumentů
FMZ guides
38 dokumentů
pysystemtrade
34 dokumentů
Freqtrade docs
32 dokumentů
quant-trading
31 dokumentů
FinRL
28 dokumentů
Zipline
22 dokumentů
FMZ live strategies
21 dokumentů
Jesse
17 dokumentů
pyfolio
16 dokumentů
Alphalens
14 dokumentů
WonderTrader
14 dokumentů
backtesting.py
11 dokumentů
Technical Analysis
9 dokumentů
QTPyLib
8 dokumentů
QuantRocket
7 dokumentů
Lumibot strategies
7 dokumentů
Awesome Quant
1 dokumentů

Prohledat knihovnu

7,910 dokumentů

Strategy library

This document describes a polling tool for comparing prices from two exchanges, including spot and futures markets. Users can choose each market’s quote currency, futures contract and leverage settings, and whether to compare best ask, last price, or best…

Více aktivFuturesSpotové trhyArbitráž
Strategy library

This simple long-only strategy aims to buy a short-term price dip and capture a possible rebound. It subtracts a multiple of 20-bar ATR from the low, smooths that adjusted series with a simple moving average, and enters when the market low crosses below the…

Návrat k průměruTechnické indikátoryŘízení rizikZpětné testování
Strategy library

This short-term system looks for breakout conditions in a one-minute MACD histogram, using Bollinger Bands around the histogram as trigger levels. Long entries require the histogram to fall below its lower band, an RSI reading above the stated threshold, and…

KryptoměnyFuturesPrůrazTechnické indikátory
Strategy library

This strategy uses Keltner Channel levels to place opposing stop entries on five-minute bars. When flat, it submits a buy stop at the upper band and a sell stop at the lower band as an OCO-style pair; when one side fills, it cancels the opposing order.…

Technické indikátoryPrůrazSledování trenduŘízení rizik
Strategy library

This TradingView paper strategy describes a long-only Turtle-style approach for daily Bitcoin prices on Bitstamp. It enters when the close rises above the previous 20 days’ high, provided price is above a 50-day simple moving average. An initial stop is set…

KryptoměnySledování trenduPrůrazTechnické indikátory
Strategy library

This QuantConnect example demonstrates how a custom buying power model can change order sizing and buying-power checks in a backtest. It applies the model to hourly SPY data, rounds the maximum order quantity down to a multiple of 100 shares, and then…

AkcieZpětné testováníVelikost poziceŘízení rizik
Strategy library

This strategy uses fast and slow zero-lag least-squares moving averages (ZLSMA) to describe market direction, then uses MACD behavior to time entries. The accompanying explanation proposes taking trades when the moving-average trend and a MACD crossover…

KryptoměnyFuturesSledování trenduTechnické indikátory
Strategy library

This strategy combines the Stochastic Momentum Index (SMI) and the Relative Strength Index (RSI) to generate long and short signals. An oversold SMI or low RSI can support a long entry, while the corresponding overbought conditions support a short. In…

KryptoměnyFuturesTechnické indikátoryZpětné testování
Strategy library

This strategy draws on Elder Ray's bull and bear power concept, measuring the day's high and low relative to an exponential moving average used as a value reference. The article describes using these differences to represent buying and selling pressure, then…

KryptoměnyFuturesTechnické indikátoryMomentum
Strategy library

This trend-following approach pairs a short-period EMA with a longer-period EMA and checks the crossover against RSI momentum. An upward crossover generates a long signal only when RSI exceeds a configurable level; a downward crossover generates a short…

KryptoměnyFuturesSledování trenduMomentum
Strategy library

This combined strategy requires agreement between a stochastic-based reversal signal and a two-period exponential moving average signal. The reversal component evaluates recent closing-price sequences alongside fast and slow stochastic values relative to a…

KryptoměnyFuturesNávrat k průměruSledování trendu
Strategy library

This strategy uses a moving-average center line and standard-deviation bands to identify price breakouts. The basis can use several moving-average types, while the band width is set by a standard-deviation multiplier. A close crossing above the upper band…

KryptoměnyFuturesPrůrazVolatilita
Strategy library

This strategy uses Average True Range to form adaptive long and short stop lines around the midpoint of each bar. A direction state changes when price crosses the prior opposing stop, providing trend-reversal signals. After entry, the described trailing…

KryptoměnyFuturesSledování trenduVolatilita
Strategy library

This document describes a crossover approach using a linear regression line, a moving average of that line, and an exponential moving average of price. The stated method treats an EMA crossing the averaged regression line as an entry or exit signal, and…

Technické indikátorySledování trenduStatistikaŘízení rizik
Strategy library

This strategy combines prior-day price levels with moving average signals. It treats a move beyond the previous day's high or low as a breakout, then uses a fast 10-period and slow 30-period moving average crossover to confirm direction. The described…

KryptoměnyFuturesPrůrazSledování trendu
Strategy library

This strategy applies the Fisher Transform to normalized midpoint prices over a lookback window. It smooths the normalized value, constrains it near its allowable bounds, then transforms it; the direction of change in the resulting indicator determines…

KryptoměnyFuturesNávrat k průměruTechnické indikátory
Strategy library

This strategy measures momentum as the difference between the current close and the close 18 periods earlier, then measures the one-period change in that momentum. Positive values for both measures indicate a long bias; negative values for both indicate a…

KryptoměnyFuturesSledování trenduMomentum
Strategy library

This strategy combines MACD crossover signals with a 200-day simple moving average as a broad trend filter. It describes buying when the MACD line is above its signal line, remains below zero, and price is above the moving average. It describes short entries…

KryptoměnyFuturesSledování trenduMomentum
Strategy library

This strategy uses On-Balance Volume to identify an upward trend, then builds a long position through repeated entries. A signal occurs when OBV, centered by its moving average, crosses above zero while the fast EMA is above the slow EMA. The source allows…

KryptoměnyFuturesSledování trenduTechnické indikátory
Strategy library

This trend-following strategy applies a Fisher Transform to the midpoint of each bar, normalized over a configurable lookback using recent highs and lows. The calculation is smoothed and bounded before transformation. It opens a long position when the…

KryptoměnyFuturesSledování trenduTechnické indikátory
Strategy library

This educational moving-average strategy uses separate EMA crossover settings for entries and exits. It opens a long position after the entry crossover persists for a configured observation period, sizing the purchase as a fraction of available cash. While…

KryptoměnySpotové trhySledování trenduTechnické indikátory
Strategy library

This strategy combines Bollinger Bands and Keltner Channels to identify volatility compression and subsequent breakouts. The visible script configures both indicators with 20-period lengths, uses standard deviation for the Bollinger Bands and ATR for the…

PrůrazVolatilitaTechnické indikátoryŘízení rizik
Strategy library

This market-making bot adjusts its orders according to the relative value of its coin inventory and cash balance. It values inventory using prices offset from the best ask and bid by a configured percentage spread. When coin value is high relative to cash,…

Tvorba trhuProvádění pokynůMikrostruktura trhuKryptoměny
Strategy library

This Bitcoin futures strategy uses 9-period and 21-period exponential moving averages to signal trend changes. It enters long when the shorter average crosses above the longer one and short on the reverse crossover. The stop is placed at the recent…

KryptoměnyFuturesSledování trenduTechnické indikátory